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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 20080
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    Explanations

    phrases related to actions and decisions taken by multiple people

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used frequently in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oreal
    -0.74
    acceptable
    -0.71
    isp
    -0.70
    udo
    -0.70
    inge
    -0.69
    PsyNetMessage
    -0.68
    Lower
    -0.66
    reci
    -0.66
    Middle
    -0.66
    ital
    -0.65
    POSITIVE LOGITS
     began
    1.11
     proceeded
    1.10
     eventually
    1.04
     promptly
    1.02
     commenced
    1.01
     resumed
    1.00
     became
    0.97
     withdrew
    0.97
     vo
    0.95
     retreated
    0.95
    Activations Density 0.267%

    No Known Activations